Prodigy InfoTech Internship: Exploratory Data Analysis (EDA)

Welcome to Task 2 of my internship at Prodigy InfoTech!
This task focuses on performing data cleaning and exploratory data analysis (EDA) using real-world datasets to extract meaningful insights.

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🔍 Task Summary

Performed data cleaning and EDA on a dataset of my choice.
I used the famous Titanic dataset from Kaggle to explore relationships between variables and uncover trends and patterns.

Sample Dataset: Titanic Dataset – Kaggle

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📊 Skills & Knowledge Gained

• Hands-on experience in data preprocessing, handling missing values, and fixing inconsistent data.
• Used Pandas, Matplotlib, and Seaborn to explore and visualize the dataset.
• Discovered correlations and trends that could influence model building and data-driven decisions.

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🤝 Let’s Connect

Feel free to explore the repository, provide feedback, or reach out to collaborate or discuss anything related to data science or internship experiences.

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📬 Contact

• Email: mithildabhi898@gmail.com
• LinkedIn: Mithil Dabhi